This self-contained reference explains genetic algorithms, the probabilistic search techniques based on the principles of biological evolution which permit engineers to analyze large numbers of variables. It addresses this important advance in AI, which can be used to better design and produce high quality products. The book presents the state-of-the-art in this field as applied to the engineering design process. All algorithms have been programmed in C and source codes are available in the appendix to help readers tailor the programs to fit their specific needs.
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